Computable Labs is creating a decentralized data marketplace. Using economic incentives to crowdsource the acquisition, curation, and modeling of data, the company will unlock the next era of AI.
Caroline Sofiatti explains how a token economy and a privacy-centric approach can reduce analysis times, cut data preparation costs, solve insufficient data problems, improve data security and governance, and enable the next generation of AI algorithms.
Caroline Sofiatti is a data and machine learning expert at Computable Labs. Previously, she was head of data science at Noon Home, an IoT consumer electronic startup. She holds a master’s degree in astrophysics from UC Berkeley, where she worked with Nobel laureate Saul Perlmutter.
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